Automation of the Data Lifecycle – Data Consumption
Data consumption is a critical part of the data lifecycle, and with the introduction of new tools, it increasingly benefits from
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Data consumption is a critical part of the data lifecycle, and with the introduction of new tools, it increasingly benefits from
In this week's real-time analytics news: Deloitte, The Linux Foundation, and Cisco launched (separate) innovative training and education efforts.
Continuous intelligence can offer a unified view of many diverse security systems. And it helps to bring some level of simplicity to the complexity that …
A five-year timeframe for shifting to intelligent systems may be tighter than it first
AI is being targeted at new application areas where it can help to get work done and help
Implementing an AIOps solution can help ensure that an IT operations team is equipped to identify and remedy any network inefficiency.
The IoT-based forest management system offers ultra-early fire detection based on AI, as well as tree health and growth monitoring.
In this week's real-time analytics news: Google Cloud intros a digital twin for supply chains, the OMG issues an API for knowledge management platforms, and …
As government tech seeks to deliver services in a post-pandemic world, it is trying to overcome the technology skills gap via its Digital Corps
Data-driven enterprises have relied on a variety of analytics tools to derive insights. Now, they must enhance those efforts with AI.